Check the preview of 2nd version of this platform being developed by the open MLCommons taskforce on automation and reproducibility as a free, open-source and technology-agnostic on-prem platform.

Image classification • MLPerf inference • TFLite CPU • Mobilenets • Linux • webcam • via cloud

solution:demo-image-classification-tflite-cpu-mobilenets-linux-azure (v1.5.0)

Portable solution description  

Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!

Start cBench (status: disconnected)

cb start

Live test of this workflow via your browser

Successfully tested configuration

Host OS: linux-64 (Ubuntu 18.04.3 LTS)
Target OS: linux-64 (Ubuntu 18.04.3 LTS)
Target machine: Microsoft Corporation 7.0 (Virtual Machine)
Target CPU: Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Target CPUs:
Python version for virtual env: 3.6.9


Reused CK components

These components are automatically installed by cBench from this portal:
pip install numpy
pip install opencv-python

ck pull repo:ck-mlperf

ck install package --tags=lib,python-package,numpy
ck install package --tags=lib,python-package,cv2

ck install package:imagenet-2012-val-min
ck install package:imagenet-2012-aux
ck install package:lib-rtl-xopenme

ck install package:dataset-imagenet-preprocessed-using-opencv

ck install package --tags=lib,tflite,v1.13.1,vsrc

ck install package:model-tf-mlperf-mobilenet-quantized

ck compile program:image-classification-tflite-codereef --speed


Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!